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Dismantling Binary Opposition in Fraud Detection: A Fuzzy Deep Learning Framework for Imbalanced Transaction Data.

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Title: Dismantling Binary Opposition in Fraud Detection: A Fuzzy Deep Learning Framework for Imbalanced Transaction Data.
Authors: Essa, Reham M.1 (AUTHOR), El-Kassrawy, Yasser2 (AUTHOR), Alaya, Amer3 (AUTHOR) a.alaya@bham.ac.uk, El-Kassrawy, Nevien4 (AUTHOR)
Source: Risks. May2026, Vol. 14 Issue 5, p98. 41p.
Database: Business Source Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Risks%22">Risks</searchLink>. May2026, Vol. 14 Issue 5, p98. 41p.
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        Value: 10.3390/risks14050098
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        Text: English
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      – TitleFull: Dismantling Binary Opposition in Fraud Detection: A Fuzzy Deep Learning Framework for Imbalanced Transaction Data.
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              Text: May2026
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              Y: 2026
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